update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- indoqa
+model-index:
+- name: indobert-base-uncased-finetuned-indoqa
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# indobert-base-uncased-finetuned-indoqa
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indoqa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5064
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.5039        | 1.0   | 204  | 2.2788          |
+| 2.0369        | 2.0   | 408  | 1.7540          |
+| 1.5361        | 3.0   | 612  | 1.5528          |
+| 1.1903        | 4.0   | 816  | 1.4809          |
+| 1.0263        | 5.0   | 1020 | 1.4368          |
+| 0.8572        | 6.0   | 1224 | 1.4654          |
+| 0.7322        | 7.0   | 1428 | 1.4382          |
+| 0.6667        | 8.0   | 1632 | 1.4520          |
+| 0.6123        | 9.0   | 1836 | 1.4890          |
+| 0.5638        | 10.0  | 2040 | 1.5064          |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1